A Series of Webinars: New Solutions in the Field of Semantic Analysis
1. How to Improve the Quality of Big Text Data Analysis? Using the Example of a Comparison of Global and Chinese Trends in Digitalisation of Education
Date and time: November 13th, 2024 16:30 — 17:30
Speakers: Maria Antasheva, Julia Isaeva and Evgeniia Zakovorotnaya, HSE ISSEK Centre for Strategic Analysis and Big Data
The new approach to term vectorization, which was applied by the ISSEK lead programmers, demonstrated high quality metrics and led to a significant improvement in the results of semantic analysis. This was demonstrated by the example of identifying global trends in the digitalisation of education: the relevance of the results to the search query has increased, and the comparison of global and individual countries’ agendas (China was chosen as a case study) has shown the existing differences. For example, the influence of digitalization of education on the digital economy of the country has been manifested in China’s agenda, and a special emphasis is also noticeable when it comes to training talents in the field of information technology.
2. What Is Named Entity Recognition and Why Analysing Chinese Names Is So Tricky?
Date and time: November 15th, 2024 16:30 — 17:30
Speakers: Maria Antasheva, Julia Isaeva, HSE ISSEK Centre for Strategic Analysis and Big Data
In 2024, the iFORA system was supplemented with the Named Entity Recognition (NER) algorithm to identify names, organisations’ titles and other proper names in Chinese texts. Named Entity Recognition on a large-scale dataset can be challenging in general, but when it comes to working with unstructured texts in the Chinese language it becomes especially tricky.
The ISSEK researchers tested the algorithm on Chinese texts on science and education. The iFORA system could reveal not only the names of scientific and educational organisations but also areas of learning and development in educational programmes as well as the names of research centres created jointly with foreign partners. This and other valuable insights are now available thanks to the new methodology.
3. iFORA 2.0: How to Improve the Security and Efficiency of the Big Data Analysis System Infrastructure?
Date and time: November 18th, 2024 16:30 — 17:30
Speakers: Nikita Savvin and Maria Antasheva, HSE ISSEK Centre for Strategic Analysis and Big Data
The efficiency of the entire big data analytics system depends on how data storage, processing algorithms and infrastructure load monitoring are organised. This year, iFORA system developers have improved approaches to data storage to increase access security, and load management for ever-increasing data volumes, and updated a number of solutions that optimise the system’s operation and monitoring function. In this webinar, they will discuss the major challenges they faced in building and implementing the new infrastructure.
Event Details:
Young researchers, senior undergraduate and graduate students at HSE University and all those interested in semantic text analysis technologies, big data analysis tools and the current agenda in the field of human capital are invited to participate in the series of webinars.
Format: Zoom conference
The Zoom link will be sent to the e-mail address provided by participants during registration.